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Classe « HDFStore »

Méthode pandas.HDFStore.select_as_multiple

Signature de la méthode select_as_multiple

def select_as_multiple(self, keys, where=None, selector=None, columns=None, start=None, stop=None, iterator: 'bool' = False, chunksize: 'int | None' = None, auto_close: 'bool' = False) 

Description

help(HDFStore.select_as_multiple)

Retrieve pandas objects from multiple tables.

.. warning::

   Pandas uses PyTables for reading and writing HDF5 files, which allows
   serializing object-dtype data with pickle when using the "fixed" format.
   Loading pickled data received from untrusted sources can be unsafe.

   See: https://docs.python.org/3/library/pickle.html for more.

Parameters
----------
keys : a list of the tables
selector : the table to apply the where criteria (defaults to keys[0]
    if not supplied)
columns : the columns I want back
start : integer (defaults to None), row number to start selection
stop  : integer (defaults to None), row number to stop selection
iterator : bool, return an iterator, default False
chunksize : nrows to include in iteration, return an iterator
auto_close : bool, default False
    Should automatically close the store when finished.

Raises
------
raises KeyError if keys or selector is not found or keys is empty
raises TypeError if keys is not a list or tuple
raises ValueError if the tables are not ALL THE SAME DIMENSIONS

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